Stephan Gade

3.7k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Stephan Gade is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Stephan Gade has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Stephan Gade's work include MicroRNA in disease regulation (4 papers), Advanced Biosensing Techniques and Applications (3 papers) and Circular RNAs in diseases (3 papers). Stephan Gade is often cited by papers focused on MicroRNA in disease regulation (4 papers), Advanced Biosensing Techniques and Applications (3 papers) and Circular RNAs in diseases (3 papers). Stephan Gade collaborates with scholars based in Germany, Belgium and Australia. Stephan Gade's co-authors include Marcus Bantscheff, Jan C. Brase, Holger Sültmann, Thilo Werner, Wolfgang Huber, Toby Mathieson, Dorothee Childs, Mikhail M. Savitski, Gavain M.A. Sweetman and Gerard Drewes and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer Research.

In The Last Decade

Stephan Gade

20 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Thermal proteome profiling for unbiased identification of direct and indirect drug targets using multiplexed quantitative mass spectrometry

2015 434 citations Holger Franken, Toby Mathieson et al. Nature Protocols profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stephan Gade Germany	13	857	324	171	131	108	20	1.1k
Damian Fermin United States	13	889 1.0×	155 0.5×	153 0.9×	84 0.6×	142 1.3×	28	1.3k
Martin Frejno Germany	15	925 1.1×	129 0.4×	283 1.7×	75 0.6×	133 1.2×	17	1.3k
Finn P. Holding United Kingdom	6	585 0.7×	324 1.0×	64 0.4×	68 0.5×	161 1.5×	6	774
Ratna R. Thangudu United States	12	591 0.7×	137 0.4×	113 0.7×	86 0.7×	90 0.8×	15	803
Xavier Bisteau Belgium	17	654 0.8×	122 0.4×	114 0.7×	159 1.2×	282 2.6×	28	1.0k
Ariel Bensimon Switzerland	10	951 1.1×	139 0.4×	273 1.6×	61 0.5×	303 2.8×	12	1.2k
Martin C. Sadowski Australia	20	707 0.8×	298 0.9×	73 0.4×	185 1.4×	240 2.2×	41	1.1k
Maria Elena Pisanu Italy	20	904 1.1×	603 1.9×	49 0.3×	125 1.0×	300 2.8×	42	1.4k
Shaofeng Lin China	15	1.0k 1.2×	88 0.3×	118 0.7×	54 0.4×	136 1.3×	27	1.2k

Countries citing papers authored by Stephan Gade

Since Specialization

Citations

This map shows the geographic impact of Stephan Gade's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephan Gade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Gade more than expected).

Fields of papers citing papers by Stephan Gade

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephan Gade. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephan Gade. The network helps show where Stephan Gade may publish in the future.

Co-authorship network of co-authors of Stephan Gade

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Gade. A scholar is included among the top collaborators of Stephan Gade based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephan Gade. Stephan Gade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gade, Stephan, Martín Garrido‐Rodríguez, Anna Rutkowska, et al.. (2024). Network integration of thermal proteome profiling with multi-omics data decodes PARP inhibition. Molecular Systems Biology. 20(4). 458–474. 2 indexed citations

Kalxdorf, Mathias, Stephan Gade, H. Christian Eberl, & Marcus Bantscheff. (2017). Monitoring Cell-surface N-Glycoproteome Dynamics by Quantitative Proteomics Reveals Mechanistic Insights into Macrophage Differentiation. Molecular & Cellular Proteomics. 16(5). 770–785. 35 indexed citations

Franken, Holger, Toby Mathieson, Dorothee Childs, et al.. (2015). Thermal proteome profiling for unbiased identification of direct and indirect drug targets using multiplexed quantitative mass spectrometry. Nature Protocols. 10(10). 1567–1593. 434 indexed citations breakdown →

Avril, Stefanie, Gϋnter von Minckwitz, Sibylle Gündisch, et al.. (2015). Abstract P3-06-36: Assessment of phosphorylated HER2 protein as predictive biomarker to stratify anti-HER2 treatment in HER2 non-amplified patients – A translational study in the GeparQuattro and GeparQuinto trials. Cancer Research. 75(9_Supplement). P3–6. 1 indexed citations

Loibl, Sibylle, Jan C. Brase, Stephan Gade, et al.. (2015). Abstract P3-06-12: Predicting residual risk of recurrence after neoadjuvant chemotherapy- a retrospective analysis of EndoPredict® in the GeparTrio trial. Cancer Research. 75(9_Supplement). P3–6. 3 indexed citations

Lönnstedt, Ingrid, Franco Caramia, Jason Li, et al.. (2014). Deciphering clonality in aneuploid breast tumors using SNP array and sequencing data. Genome biology. 15(9). 470–470. 11 indexed citations

Müller, Volkmar, Stephan Gade, Bettina Steinbach, et al.. (2014). Changes in serum levels of miR-21, miR-210, and miR-373 in HER2-positive breast cancer patients undergoing neoadjuvant therapy: a translational research project within the Geparquinto trial. Breast Cancer Research and Treatment. 147(1). 61–68. 101 indexed citations

Denkert, Carsten, Gϋnter von Minckwitz, Jan C. Brase, et al.. (2014). Expression of immunologic genes in triple-negative and HER2-positive breast cancer in the neoadjuvant GEPARSIXTO trial: Prediction of response to carboplatin-based chemotherapy.. Journal of Clinical Oncology. 32(15_suppl). 510–510. 7 indexed citations

Lönnstedt, Ingrid, Franco Caramia, Jason Li, et al.. (2014). Deciphering clonality in aneuploid tumors using SNP array and sequencing data. Genome Biology. 15(9). 470–470. 4 indexed citations

10.

Gade, Stephan, Michael Meister, Jan C. Brase, et al.. (2013). Serum miR-142-3p is associated with early relapse in operable lung adenocarcinoma patients. Lung Cancer. 80(2). 223–227. 61 indexed citations

11.

Loibl, Sibylle, Carsten Denkert, Sherene Loi, et al.. (2013). PIK3CA mutations in primary HER2-positive and triple negative breast cancer.. Journal of Clinical Oncology. 31(15_suppl). 11061–11061. 1 indexed citations

12.

Hilvo, Mika, Stephan Gade, Tuulia Hyötyläinen, et al.. (2013). Monounsaturated fatty acids in serum triacylglycerols are associated with response to neoadjuvant chemotherapy in breast cancer patients. International Journal of Cancer. 134(7). 1725–1733. 39 indexed citations

13.

Kuner, Ruprecht, Maria Fälth, Jan C. Brase, et al.. (2012). The maternal embryonic leucine zipper kinase (MELK) is upregulated in high-grade prostate cancer. Journal of Molecular Medicine. 91(2). 237–248. 119 indexed citations

14.

Batra, Richa, Nathalie Harder, Volker Ehemann, et al.. (2012). MYCN-mediated overexpression of mitotic spindle regulatory genes and loss of p53-p21 function jointly support the survival of tetraploid neuroblastoma cells. Cancer Letters. 331(1). 35–45. 13 indexed citations

15.

Zacher, Benedikt, et al.. (2012). Joint Bayesian inference of condition-specific miRNA and transcription factor activities from combined gene and microRNA expression data. Bioinformatics. 28(13). 1714–1720. 24 indexed citations

16.

Gade, Stephan, Christine Porzelius, Maria Fälth, et al.. (2011). Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer. BMC Bioinformatics. 12(1). 488–488. 36 indexed citations

17.

Brase, Jan C., Marc Johannes, Heiko Mannsperger, et al.. (2011). TMPRSS2-ERG -specific transcriptional modulation is associated with prostate cancer biomarkers and TGF-β signaling. BMC Cancer. 11(1). 507–507. 92 indexed citations

18.

Johannes, Marc, Jan C. Brase, Holger Fröhlich, et al.. (2010). Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients. Bioinformatics. 26(17). 2136–2144. 75 indexed citations

19.

Brase, Jan C., Heiko Mannsperger, Holger Fröhlich, et al.. (2010). Increasing the sensitivity of reverse phase protein arrays by antibody-mediated signal amplification. Proteome Science. 8(1). 36–36. 15 indexed citations

20.

Mannsperger, Heiko, Stephan Gade, Frauke Henjes, Tim Beißbarth, & Ulrike Korf. (2010). RPPanalyzer: Analysis of reverse-phase protein array data. Bioinformatics. 26(17). 2202–2203. 51 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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